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ObjectiveThe main objective of this paper is to document the changing paradigm of malnutrition in Bangladesh and estimating how this is creating an intergenerational risk. This paper also examines national policy responses to tackle the silent epidemic of double burden of malnutrition.MethodsPublicly available datasets of five Bangladesh Demographic and Health Surveys were used to see the changing paradigm of malnutrition among Bangladesh women. In addition to that, four national policies concerning, maternal and child health; and nutrition were reviewed using CDC’s 2013 Policy Analytical Framework.ResultsIn Bangladesh, the share of ever-married women aged 15–49 who were underweight declined sharply between 2007 and 2017–2018, from 30 to 12%. In the same period, the proportion of women who were overweight or obese increased from 12 to 32%. Despite remarkable progress in reducing undernourishment among women, the share of well-nourished remained unchanged: 58% in 2007 and 56% in 2017–2018, mainly due to the shift in the dominant burden from undernutrition to overnutrition. This shift occurred around 2012–2013. Currently, in Bangladesh 0.8 million of births occur to overweight women and 0.5 million births occur to underweight women. If the current trend in malnutrition continues, pregnancies/births among overweight women will increase. Bangladesh’s existing relevant policies concerning maternal health and nutrition are inadequate and mostly address the underweight spectrum of malnutrition.DiscussionBoth forms of malnutrition pose a risk for maternal and child health. Underweight mothers are at risk of having anemia, antepartum/postpartum hemorrhage, and premature rupture of membranes. Maternal obesity increases the risk of perinatal complications, such as gestational diabetes, gestational hypertension, and cesarean deliveries. Currently, around 24% of the children are born to overweight/obese mothers and 15% to underweight mothers. Bangladesh should revise its national policies to address the double burden of malnutrition among women of reproductive age across pre-conception, pregnancy, and post-natal stages to ensure optimum maternal and child health.

BackgroundSince March 2020, the coronavirus disease 2019 (COVID-19) pandemic has been a major shock to health systems across the world. We examined national usage patterns for selected basic, essential health services, before and during the COVID-19 pandemic in Uganda and Bangladesh, to determine whether COVID-19 affected reporting of service utilization and the use of health services in each country.MethodsWe used routine health information system data since January 2017 to analyze reporting and service utilization patterns for a variety of health services. Using time series models to replicate pre-COVID-19 trajectories over time we estimated what levels would have been observed if COVID-19 had not occurred during the pandemic months, starting in March 2020. The difference between the observed and predicted levels is the COVID-19 effect on health services.ResultsThe time trend models for Uganda and Bangladesh closely replicated the levels and trajectories of service utilization during the 38 months prior to the COVID-19 pandemic. Our results indicate that COVID-19 had severe effects across all services, particularly during the first months of the pandemic, but COVID-19 impacts on health services and subsequent recovery varied by service type. In general, recovery to expected levels was slow and incomplete across the most affected services.ConclusionOur analytical approach based on national information system data could be very useful as a form of surveillance for health services disruptions from any cause leading to rapid responses from health service managers and policymakers.

Objectives: Low birthweight (LBW) prevalence remains high in African countries and evidence of cash transfer impacts on birthweight, particularly by season of infant birth, is limited. This study examines overall and seasonal cash transfer impacts on LBW in rural Ghana.Methods: Data come from a longitudinal, quasi-experimental impact evaluation of the Livelihood Empowerment Against Poverty (LEAP) 1,000 unconditional cash transfer program for impoverished pregnant or lactating women in rural districts of Northern Ghana. LEAP1000 program impacts on average birthweight and LBW were estimated for a multiply imputed sample of 3,258 and a panel sample of 1,567 infants using differences-in-differences models and triple difference models to assess impacts by season.Results: LEAP1000 decreased LBW prevalence by 3.5 and 4.1 percentage points overall and in the dry season, respectively. LEAP1000 increased average birthweight by 94, 109, and 79 g overall, in the dry season, and in the rainy season, respectively.Conclusion: Our findings of positive LEAP1000 impacts on birthweight across seasons and on LBW in the dry season demonstrate the need to take seasonal vulnerabilities into account when designing and implementing programs for rural populations in Africa.